scholarly journals 0854 Prevalence of Sleep Disorders and Medication Use among Active Duty Army for Fiscal Year 2018

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A342-A343 ◽  
Author(s):  
Jaime K Devine ◽  
Jake Choynowski ◽  
Jacob Collen ◽  
Vincent Capaldi
SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A147-A148
Author(s):  
A J Brager ◽  
N Hosamane ◽  
V Capaldi ◽  
G Simonelli

Abstract Introduction The impact of sleep disorders on active duty Soldiers’ medical readiness is clinically significant. Sleep disorders present high comorbidity with disease states directly impacting medical readiness, ranging from musculoskeletal injury (MSK-I), obesity, and drug dependence. The current study performed a risk assessment of sleep disorder comorbidity with MSK-I, obesity, and drug dependence across active duty United States Army installations. Methods Health incidences (percent active duty per installation) were queried from the Office of the Surgeon General Health of the Force (HoF) report, specifically for Fiscal Year (FY) 2017 (n = 471,000; 85.5% male, > 70% between 18 -34). Nonparametric ranked tests identified active duty Army installations at low risk (green; < 25% percentile relative to mean rank), moderate risk (amber; 25% - 50%), and high risk (red; > 75% percentile). Linear regressions determined extent of comorbidity of sleep disorders with MSK-I, obesity, and drug dependence (tobacco use and substance abuse). Results Mean rank comparisons for sleep disorders vs. injury index (p=0.499), obesity (p=0.306), tobacco use (p=0.378), and substance abuse (p=0.591) did not differ for each installation. Further, there was a high degree of co-morbidity for mean percentage of diagnosed sleep disorder with injury index (p<0.001; r2 = 0.517), obesity (p<0.001; r2 = 0.963), tobacco use (p<0.001; r2 = 0.928), and substance abuse (p<0.001; r2 = 0.968). Conclusion In general, large infantry and artillery training units located in the Southeastern United States were “in the red” for not meeting medical readiness standards. A few exceptions include Virginia-Maryland triangle, a heavily populated area. These data demonstrate strong geographical influences on health risk comorbidity in active duty Soldiers comparable to civilian sectors. Support Military Operational Medicine Research Program


SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A142-A143
Author(s):  
Joshua R Duncan ◽  
Paul J Schroeder ◽  
Jennifer Williams

SLEEP ◽  
2013 ◽  
Vol 36 (2) ◽  
pp. 167-174 ◽  
Author(s):  
Vincent Mysliwiec ◽  
Leigh McGraw ◽  
Roslyn Pierce ◽  
Patrick Smith ◽  
Brandon Trapp ◽  
...  

PLoS ONE ◽  
2011 ◽  
Vol 6 (7) ◽  
pp. e22073 ◽  
Author(s):  
Guy R. Warman ◽  
Matthew D. M. Pawley ◽  
Catherine Bolton ◽  
James F. Cheeseman ◽  
Antonio T. Fernando ◽  
...  

2021 ◽  
Author(s):  
Jeffrey C Leggit ◽  
Hongyan Wu ◽  
Miranda Janvrin ◽  
Jessica Korona-Bailey ◽  
Tracey Perez Koehlmoos ◽  
...  

ABSTRACT Introduction Recent epidemiological evidence shows that shoulder and upper-arm complaints impose a substantial burden on the armed forces of the United States and create significant challenges for all components of the physical fitness domain of total force fitness. Clinicians, epidemiologists, and health-services researchers interested in shoulder and upper-arm injuries and their functional limitations rarely have objective, validated criteria for rigorously evaluating diagnostic practices, prescribed treatments, or the outcomes of alternative approaches. We sought to establish and quantify patient volume, types of care, and costs within the Military Health System (MHS) in assessing and managing active duty members with nonoperative shoulder and upper-arm dysfunction. Materials and Methods We performed a retrospective cohort study using data from the MHS Data Repository and MHS MART (M2) from fiscal year 2014 to identify active duty individuals with a diagnosis of shoulder and upper-arm injury or impairment defined by one of the International Classification of Disease Ninth Edition diagnosis codes that were selected to reflect nonoperative conditions such as fractures or infections. Statistical analyses include descriptive statistics on patient demographics and clinical visits, such as the range and frequency of diagnoses, number and types of appointments, and clinical procedure information following the diagnosis. We also examined treatment costs related to shoulder dysfunction and calculated the total cost to include medications, radiological, procedural, and laboratory test costs for all shoulder dysfunction visits in 2014 and the average cost for each visit. We further examined the category of each medication prescribed. Results A total of 55,643 individuals met study criteria and accrued 193,455 shoulder-dysfunction-related clinical visits in fiscal year 2014. This cohort represents approximately 4.8% of the 1,155,183 active duty service members assigned to the United States and its territories during FY 2014. Most patients were male (85.32%), younger (85.25% were under 40 years old), and Caucasian/White (71.12%). The most common diagnosis code was 719.41 (pain in joint, shoulder region; 42.48%). The majority of the patients 42,750 (76.8%) had four or fewer medical visits during the study period and 12,893 (23.2%) had more than four visits. A total of 4,733 patients (8.5%) underwent arthrocentesis aspiration or injection. The total cost for all visits was $65,066,767.89. The average and median cost for each visit were $336.34 (standard deviation was $1,493.87) and $163.11 (range was from 0 to $84,183.88), respectively. Three out of four patients (75.3%) underwent radiological examinations, and 74.2% of these individuals had more than one radiological examination. Medications were prescribed to 50,610 (91.0%) patients with the three most common being IBUPROFEN (12.21%), NAPROXEN (8.51%), and OXYCODONE-ACETAMINOPHEN (5.04%), respectively. Conclusions Nearly 1 in 20 active duty military service members presented for nonoperative care of shoulder and/or upper-arm dysfunction during FY2014. Further examinations of the etiology and potential impact of shoulder/upper-arm dysfunction on force readiness are clearly warranted, as are additional studies directed at identifying best practices for preventing injury-related dysfunction and determining best practices for the treatment of shoulder dysfunction to optimize service member fitness and force readiness.


2016 ◽  
Vol 5 (2) ◽  
pp. 101-110 ◽  
Author(s):  
Shannon N. Foster ◽  
Matthew S. Brock ◽  
Shana Hansen ◽  
Jacob F. Collen ◽  
Robert Walter ◽  
...  

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A305-A306
Author(s):  
S Foster ◽  
D Capener ◽  
MS Brock ◽  
S Hansen ◽  
P Matsangas ◽  
...  

2021 ◽  
Author(s):  
Lcdr Ross A Mullinax ◽  
Lindsay Grunwald ◽  
Amanda Banaag ◽  
Cara Olsen ◽  
Tracey P Koehlmoos

ABSTRACT Introduction Medical readiness to deploy is an increasingly important issue within the military. Musculoskeletal back pain is one of the most common medical problems that affects service members. This study demonstrates the associations between risk factors and the prevalence of musculoskeletal back pain among active duty sailors and Marines within the Department of the Navy (DoN). Materials and Methods Utilizing the Military Health System Data Repository, we conducted a retrospective cross-sectional review of administrative healthcare claim data for all active duty DoN personnel with at least one medical encounter during fiscal years 2009-2015. For each fiscal year, we identified all claims with an ICD-9 code for back pain and calculated prevalence. We compared those with and without back pain across all variables (age, gender, rank, race, body mass index, tobacco use, occupation, and branch of service) using chi-square analysis. Unadjusted and adjusted log-binomial regressions were used to calculate prevalence ratios and examine associated risk factors for back pain. Results The number of active duty subjects per fiscal year ranged from 424,460 to 437,053. The prevalence of back pain showed an upward trend, ranging from 9.99% in 2009 to 12.09% in 2015. Personnel aged 35 years and older had the strongest adjusted prevalence ration (APR) for back pain (APR 2.59; 95% CI, 2.53-2.66). There were also strong associations with obese body mass index (APR 1.76; 95% CI, 1.66-1.86), overweight body mass index (APR 1.29; 95% CI, 1.27-1.32), and tobacco use (APR 1.39; 95% CI, 1.36-1.42). Females were more likely to have back pain than males (APR 1.43; 95% CI, 1.40-1.47) and Marines more likely than sailors (APR 1.39; 95% CI, 1.36-1.42). The occupation with the highest prevalence ratio was healthcare (APR 1.34; 95% CI, 1.29-1.40) when compared to the reference group of combat specialists. Conclusions There was an increasing prevalence of back pain across the DoN from 2009 to 2015. Different occupational categories demonstrate different prevalence of back pain. Surprisingly, combat occupations and aviators were among the groups with the lowest prevalence. Lifestyle factors such as excess body weight and use of tobacco products are clearly associated with increased prevalence. These results could inform military leaders with regard to setting policies that could increase medical readiness.


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